A Novel Algorithm for Multi-signals Deinterleaving and Two-dimensional Imaging Recognition Based on Short-time PRI Transform

Pulse repetition interval (PRI) is an important parameter of signal modulation in Anti-Radiation radar systems. The accuracy directly affects the ability of target recognition and system attack. PRI transform algorithm has a high accuracy in PRI estimation and can well deinterleave some PRI jittered signals within a certain range. However, the algorithm cannot intuitively acquire and describe the PRI modulation characteristics and changing rule of complex signals. Traditional plane transform technology can show the characteristic curve on the plane. However, the width of the plane needs to be adjusted constantly for target display and cannot realize complete automatic deinterleaving, which leads to difficulties in engineering applications. To alleviate this suffering, a novel short-time PRI transform algorithm is suggested. It admits a combination of both advantages of the method of short-time windowing and PRI transform algorithm, to acquire the modulation information and changing characteristics of the target’s PRI. The simulation results showed that the proposed algorithm is successful in deinterleaving and recognizing multi-targets for complex signal types besides accurately estimating the PRI center value in high pulse density environments. Moreover, the algorithm can obtain more PRI changing characteristics from two-dimensional images and, in this sense, the current method seems to be potential method in signal deinterleaving, and also paves a way for various future intelligent recognition applications.